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| import os | |
| import json | |
| import copy | |
| import time | |
| import random | |
| import logging | |
| import numpy as np | |
| from typing import Any, Dict, List, Optional, Union | |
| import torch | |
| from PIL import Image | |
| import gradio as gr | |
| from diffusers import ( | |
| DiffusionPipeline, | |
| AutoencoderTiny, | |
| AutoencoderKL, | |
| AutoPipelineForImage2Image, | |
| FluxPipeline, | |
| FlowMatchEulerDiscreteScheduler) | |
| from huggingface_hub import ( | |
| hf_hub_download, | |
| HfFileSystem, | |
| ModelCard, | |
| snapshot_download) | |
| from diffusers.utils import load_image | |
| import spaces | |
| #---if workspace = local or colab--- | |
| # Authenticate with Hugging Face | |
| # from huggingface_hub import login | |
| # Log in to Hugging Face using the provided token | |
| # hf_token = 'hf-token-authentication' | |
| # login(hf_token) | |
| def calculate_shift( | |
| image_seq_len, | |
| base_seq_len: int = 256, | |
| max_seq_len: int = 4096, | |
| base_shift: float = 0.5, | |
| max_shift: float = 1.16, | |
| ): | |
| m = (max_shift - base_shift) / (max_seq_len - base_seq_len) | |
| b = base_shift - m * base_seq_len | |
| mu = image_seq_len * m + b | |
| return mu | |
| def retrieve_timesteps( | |
| scheduler, | |
| num_inference_steps: Optional[int] = None, | |
| device: Optional[Union[str, torch.device]] = None, | |
| timesteps: Optional[List[int]] = None, | |
| sigmas: Optional[List[float]] = None, | |
| **kwargs, | |
| ): | |
| if timesteps is not None and sigmas is not None: | |
| raise ValueError("Only one of `timesteps` or `sigmas` can be passed. Please choose one to set custom values") | |
| if timesteps is not None: | |
| scheduler.set_timesteps(timesteps=timesteps, device=device, **kwargs) | |
| timesteps = scheduler.timesteps | |
| num_inference_steps = len(timesteps) | |
| elif sigmas is not None: | |
| scheduler.set_timesteps(sigmas=sigmas, device=device, **kwargs) | |
| timesteps = scheduler.timesteps | |
| num_inference_steps = len(timesteps) | |
| else: | |
| scheduler.set_timesteps(num_inference_steps, device=device, **kwargs) | |
| timesteps = scheduler.timesteps | |
| return timesteps, num_inference_steps | |
| # FLUX pipeline | |
| def flux_pipe_call_that_returns_an_iterable_of_images( | |
| self, | |
| prompt: Union[str, List[str]] = None, | |
| prompt_2: Optional[Union[str, List[str]]] = None, | |
| height: Optional[int] = None, | |
| width: Optional[int] = None, | |
| num_inference_steps: int = 28, | |
| timesteps: List[int] = None, | |
| guidance_scale: float = 3.5, | |
| num_images_per_prompt: Optional[int] = 1, | |
| generator: Optional[Union[torch.Generator, List[torch.Generator]]] = None, | |
| latents: Optional[torch.FloatTensor] = None, | |
| prompt_embeds: Optional[torch.FloatTensor] = None, | |
| pooled_prompt_embeds: Optional[torch.FloatTensor] = None, | |
| output_type: Optional[str] = "pil", | |
| return_dict: bool = True, | |
| joint_attention_kwargs: Optional[Dict[str, Any]] = None, | |
| max_sequence_length: int = 512, | |
| good_vae: Optional[Any] = None, | |
| ): | |
| height = height or self.default_sample_size * self.vae_scale_factor | |
| width = width or self.default_sample_size * self.vae_scale_factor | |
| self.check_inputs( | |
| prompt, | |
| prompt_2, | |
| height, | |
| width, | |
| prompt_embeds=prompt_embeds, | |
| pooled_prompt_embeds=pooled_prompt_embeds, | |
| max_sequence_length=max_sequence_length, | |
| ) | |
| self._guidance_scale = guidance_scale | |
| self._joint_attention_kwargs = joint_attention_kwargs | |
| self._interrupt = False | |
| batch_size = 1 if isinstance(prompt, str) else len(prompt) | |
| device = self._execution_device | |
| lora_scale = joint_attention_kwargs.get("scale", None) if joint_attention_kwargs is not None else None | |
| prompt_embeds, pooled_prompt_embeds, text_ids = self.encode_prompt( | |
| prompt=prompt, | |
| prompt_2=prompt_2, | |
| prompt_embeds=prompt_embeds, | |
| pooled_prompt_embeds=pooled_prompt_embeds, | |
| device=device, | |
| num_images_per_prompt=num_images_per_prompt, | |
| max_sequence_length=max_sequence_length, | |
| lora_scale=lora_scale, | |
| ) | |
| num_channels_latents = self.transformer.config.in_channels // 4 | |
| latents, latent_image_ids = self.prepare_latents( | |
| batch_size * num_images_per_prompt, | |
| num_channels_latents, | |
| height, | |
| width, | |
| prompt_embeds.dtype, | |
| device, | |
| generator, | |
| latents, | |
| ) | |
| sigmas = np.linspace(1.0, 1 / num_inference_steps, num_inference_steps) | |
| image_seq_len = latents.shape[1] | |
| mu = calculate_shift( | |
| image_seq_len, | |
| self.scheduler.config.base_image_seq_len, | |
| self.scheduler.config.max_image_seq_len, | |
| self.scheduler.config.base_shift, | |
| self.scheduler.config.max_shift, | |
| ) | |
| timesteps, num_inference_steps = retrieve_timesteps( | |
| self.scheduler, | |
| num_inference_steps, | |
| device, | |
| timesteps, | |
| sigmas, | |
| mu=mu, | |
| ) | |
| self._num_timesteps = len(timesteps) | |
| guidance = torch.full([1], guidance_scale, device=device, dtype=torch.float32).expand(latents.shape[0]) if self.transformer.config.guidance_embeds else None | |
| for i, t in enumerate(timesteps): | |
| if self.interrupt: | |
| continue | |
| timestep = t.expand(latents.shape[0]).to(latents.dtype) | |
| noise_pred = self.transformer( | |
| hidden_states=latents, | |
| timestep=timestep / 1000, | |
| guidance=guidance, | |
| pooled_projections=pooled_prompt_embeds, | |
| encoder_hidden_states=prompt_embeds, | |
| txt_ids=text_ids, | |
| img_ids=latent_image_ids, | |
| joint_attention_kwargs=self.joint_attention_kwargs, | |
| return_dict=False, | |
| )[0] | |
| latents_for_image = self._unpack_latents(latents, height, width, self.vae_scale_factor) | |
| latents_for_image = (latents_for_image / self.vae.config.scaling_factor) + self.vae.config.shift_factor | |
| image = self.vae.decode(latents_for_image, return_dict=False)[0] | |
| yield self.image_processor.postprocess(image, output_type=output_type)[0] | |
| latents = self.scheduler.step(noise_pred, t, latents, return_dict=False)[0] | |
| torch.cuda.empty_cache() | |
| latents = self._unpack_latents(latents, height, width, self.vae_scale_factor) | |
| latents = (latents / good_vae.config.scaling_factor) + good_vae.config.shift_factor | |
| image = good_vae.decode(latents, return_dict=False)[0] | |
| self.maybe_free_model_hooks() | |
| torch.cuda.empty_cache() | |
| yield self.image_processor.postprocess(image, output_type=output_type)[0] | |
| #------------------------------------------------------------------------------------------------------------------------------------------------------------# | |
| loras = [ | |
| #24 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-Claymation-XC-LoRA/resolve/main/images/4.png", | |
| "title": "Claymation XC", | |
| "repo": "strangerzonehf/Flux-Claymation-XC-LoRA", | |
| "weights": "Claymation.safetensors", | |
| "trigger_word": "Claymation" | |
| }, | |
| #25 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-Icon-Kit-LoRA/resolve/main/images/6.png", | |
| "title": "Icon Kit", | |
| "repo": "strangerzonehf/Flux-Icon-Kit-LoRA", | |
| "weights": "Icon-Kit.safetensors", | |
| "trigger_word": "Icon Kit" | |
| }, | |
| #43 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-Cardboard-Art-LoRA/resolve/main/images/6.png", | |
| "title": "Cardboard Art V1", | |
| "repo": "strangerzonehf/Flux-Cardboard-Art-LoRA", | |
| "weights": "cardboard# art.safetensors", | |
| "trigger_word": "cardboard# art" | |
| }, | |
| #53 | |
| { | |
| "image": "https://huggingface.co/fofr/flux-condensation/resolve/main/images/example_crzf2b8xi.png", | |
| "title": "Condensation", | |
| "repo": "fofr/flux-condensation", | |
| "weights": "lora.safetensors", | |
| "trigger_word": "CONDENSATION" | |
| }, | |
| #63 | |
| { | |
| "image": "https://huggingface.co/Datou1111/flux-sincity-movie/resolve/main/images/img__00685_.png", | |
| "title": "Sincity Movie", | |
| "repo": "Datou1111/flux-sincity-movie", | |
| "weights": "sincitymov.safetensors", | |
| "trigger_word": "sincitymov" | |
| }, | |
| #88 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-Sketch-Sized-LoRA/resolve/main/images/8.png", | |
| "title": "Sketch Sized", | |
| "repo": "strangerzonehf/Flux-Sketch-Sized-LoRA", | |
| "weights": "Sketch_Sized.safetensors", | |
| "trigger_word": "Sketch Sized" | |
| }, | |
| #60 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Sketch-Paint/resolve/main/images/2.png", | |
| "title": "Sketch Paint", | |
| "repo": "strangerzonehf/Sketch-Paint", | |
| "weights": "Sketch-Paint.safetensors", | |
| "trigger_word": "Sketch paint" | |
| }, | |
| #61 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-Smiley-Portrait-LoRA/resolve/main/images/3.png", | |
| "title": "Smiley Portrait", | |
| "repo": "strangerzonehf/Flux-Smiley-Portrait-LoRA", | |
| "weights": "smiley-portrait.safetensors", | |
| "trigger_word": "smiley portrait" | |
| }, | |
| #26 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Gem-Touch-LoRA-Flux/resolve/main/images/333.png", | |
| "title": "Gem Touch LoRA", | |
| "repo": "strangerzonehf/Gem-Touch-LoRA-Flux", | |
| "weights": "GemTouch.safetensors", | |
| "trigger_word": "Gem Touch" | |
| }, | |
| #54 | |
| { | |
| "image": "https://huggingface.co/AiAF/D-ART-18DART5_LoRA_Flux1/resolve/main/samples_2000-4000/1735935528010__000004000_3.jpg", | |
| "title": "D-ART Anime", | |
| "repo": "AiAF/D-ART-18DART5_LoRA_Flux1", | |
| "weights": "D-ART-Flux1.safetensors", | |
| "trigger_word": "D-ART \(Artist\), @18dart5, @18dart3, @18dart2, and/or @18dart1" | |
| }, | |
| #1 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/CMS-3D-Art/resolve/main/images/33.png", | |
| "title": "CMS 3D Art", | |
| "repo": "strangerzonehf/CMS-3D-Art", | |
| "weights": "CMS-3D-Art.safetensors", | |
| "trigger_word": "CMS 3D Art" | |
| }, | |
| #2 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-Ultimate-LoRA-Collection/resolve/main/images/image.png", | |
| "title": "AWPortraitCN2", | |
| "repo": "Shakker-Labs/AWPortraitCN2", | |
| "weights": "AWPortraitCN_2.safetensors", | |
| "trigger_word": "" | |
| }, | |
| #3 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/3d-Station-Toon/resolve/main/images/5555.png", | |
| "title": "3d Station Toon", | |
| "repo": "strangerzonehf/3d-Station-Toon", | |
| "weights": "3d station toon.safetensors", | |
| "trigger_word": "3d station toon" | |
| }, | |
| #4 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-Master-Claymation/resolve/main/images/6.png", | |
| "title": "Master Claymation", | |
| "repo": "strangerzonehf/Flux-Master-Claymation", | |
| "weights": "Master-Claymation.safetensors", | |
| "trigger_word": "Master Claymation" | |
| }, | |
| #5 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-Ultimate-LoRA-Collection/resolve/main/images/image2.png", | |
| "title": "AWPortraitCN", | |
| "repo": "Shakker-Labs/AWPortraitCN", | |
| "weights": "AWPortraitCN.safetensors", | |
| "trigger_word": "" | |
| }, | |
| #6 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/333-PRO/resolve/main/images/111.png", | |
| "title": "333 PRO", | |
| "repo": "strangerzonehf/333-PRO", | |
| "weights": "333-Pro.safetensors", | |
| "trigger_word": "333 Pro Sketch" | |
| }, | |
| #7 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/BnW-Expressions-Flux/resolve/main/images/111.png", | |
| "title": "BnW Expressions", | |
| "repo": "strangerzonehf/BnW-Expressions-Flux", | |
| "weights": "BnW-Expressions.safetensors", | |
| "trigger_word": "BnW Expressions" | |
| }, | |
| #8 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/2DAura-Flux/resolve/main/images/666.png", | |
| "title": "2DAura Flux", | |
| "repo": "strangerzonehf/2DAura-Flux", | |
| "weights": "2DAura.safetensors", | |
| "trigger_word": "2D Aura" | |
| }, | |
| #9 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/FallenArt-Flux/resolve/main/images/222.png", | |
| "title": "Fallen Art", | |
| "repo": "strangerzonehf/FallenArt-Flux", | |
| "weights": "FallenArt.safetensors", | |
| "trigger_word": "Fallen Art" | |
| }, | |
| #10 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Cardboard-v2-Flux/resolve/main/images/111.png", | |
| "title": "Cardboard-v2-Flux", | |
| "repo": "strangerzonehf/Cardboard-v2-Flux", | |
| "weights": "Cardboard-v2.safetensors", | |
| "trigger_word": "Cardboard v2" | |
| }, | |
| #11 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Qx-Art/resolve/main/images/2.png", | |
| "title": "Qx Art", | |
| "repo": "strangerzonehf/Qx-Art", | |
| "weights": "Qx-Art.safetensors", | |
| "trigger_word": "Qx-Art" | |
| }, | |
| #12 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Realism-H6-Flux/resolve/main/images/3333.png", | |
| "title": "Realism H6 Flux", | |
| "repo": "strangerzonehf/Realism-H6-Flux", | |
| "weights": "Realism H6.safetensors", | |
| "trigger_word": "Realism H6" | |
| }, | |
| #13 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Qs-Sketch/resolve/main/images/5.png", | |
| "title": "Qs Sketch", | |
| "repo": "strangerzonehf/Qs-Sketch", | |
| "weights": "Qs Sketch.safetensors", | |
| "trigger_word": "Qs Sketch" | |
| }, | |
| #14 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Qc-Sketch/resolve/main/images/1.png", | |
| "title": "Qc Sketch", | |
| "repo": "strangerzonehf/Qc-Sketch", | |
| "weights": "Qc-Sketch.safetensors", | |
| "trigger_word": "Qc-Sketch" | |
| }, | |
| #15 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Qw-Sketch/resolve/main/images/4.png", | |
| "title": "Qw Sketch", | |
| "repo": "strangerzonehf/Qw-Sketch", | |
| "weights": "Qw-Sketch.safetensors", | |
| "trigger_word": "Qw Sketch" | |
| }, | |
| #16 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Thread-of-Art-Flux/resolve/main/images/1111.png", | |
| "title": "Thread of Art", | |
| "repo": "strangerzonehf/Thread-of-Art-Flux", | |
| "weights": "Thread-of-Art.safetensors", | |
| "trigger_word": "Thread of Art" | |
| }, | |
| #17 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-Automotive-X2-LoRA/resolve/main/images/1.png", | |
| "title": "Automotive X2", | |
| "repo": "strangerzonehf/Flux-Automotive-X2-LoRA", | |
| "weights": "Automotive-X2.safetensors", | |
| "trigger_word": "Automotive X2" | |
| }, | |
| #18 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-Automotive-X1-LoRA/resolve/main/images/3.png", | |
| "title": "Automotive X1", | |
| "repo": "strangerzonehf/Flux-Automotive-X1-LoRA", | |
| "weights": "Automotive-X1.safetensors", | |
| "trigger_word": "Automotive X1" | |
| }, | |
| #19 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-3DXL-Partfile-0001/resolve/main/images/4.png", | |
| "title": "3DXLP1", | |
| "repo": "strangerzonehf/Flux-3DXL-Partfile-0001", | |
| "weights": "3DXLP1.safetensors", | |
| "trigger_word": "3DXLP1" | |
| }, | |
| #20 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-3DXL-Partfile-0002/resolve/main/images/44.png", | |
| "title": "3DXLP2", | |
| "repo": "strangerzonehf/Flux-3DXL-Partfile-0002", | |
| "weights": "3DXLP2.safetensors", | |
| "trigger_word": "3DXLP2" | |
| }, | |
| #21 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-3DXL-Partfile-0003/resolve/main/images/222.png", | |
| "title": "3DXLP3", | |
| "repo": "strangerzonehf/Flux-3DXL-Partfile-0003", | |
| "weights": "3DXLP3.safetensors", | |
| "trigger_word": "3DXLP3" | |
| }, | |
| #22 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-3DXL-Partfile-0004/resolve/main/images/4444.png", | |
| "title": "3DXLP4", | |
| "repo": "strangerzonehf/Flux-3DXL-Partfile-0004", | |
| "weights": "3DXLP4.safetensors", | |
| "trigger_word": "3DXLP4" | |
| }, | |
| #23 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-Isometric-3D-Cinematography/resolve/main/images/IS1.png", | |
| "title": "Isometric 3D", | |
| "repo": "strangerzonehf/Flux-Isometric-3D-Cinematography", | |
| "weights": "Isometric-3D-Cinematography.safetensors", | |
| "trigger_word": "Isometric 3D Cinematography" | |
| }, | |
| #27 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-Microworld-NFT-LoRA/resolve/main/images/4.png", | |
| "title": "Microworld NFT", | |
| "repo": "strangerzonehf/Flux-Microworld-NFT-LoRA", | |
| "weights": "Microworld-NFT.safetensors", | |
| "trigger_word": "Microworld NFT" | |
| }, | |
| #28 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/NFT-Plus-InsideOut-Perspective/resolve/main/images/2.png", | |
| "title": "NFT ++", | |
| "repo": "strangerzonehf/NFT-Plus-InsideOut-Perspective", | |
| "weights": "NFT-Plus-InsideOut-Perspective.safetensors", | |
| "trigger_word": "NFT ++" | |
| }, | |
| #29 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-Ghibli-Art-LoRA/resolve/main/images/8.png", | |
| "title": "Half Ghibli", | |
| "repo": "strangerzonehf/Flux-Ghibli-Art-LoRA", | |
| "weights": "Ghibli-Art.safetensors", | |
| "trigger_word": "Ghibli Art" | |
| }, | |
| #80 | |
| { | |
| "image": "https://huggingface.co/fffiloni/dark-pointillisme/resolve/main/images/example_xhq6z88qq.png", | |
| "title": "Dark Pointillisme", | |
| "repo": "fffiloni/dark-pointillisme", | |
| "weights": "dark-pointillisme.safetensors", | |
| "trigger_word": "in the style of TOK" | |
| }, | |
| #30 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-Midjourney-Mix-LoRA/resolve/main/images/mj10.png", | |
| "title": "Midjourney Mix", | |
| "repo": "strangerzonehf/Flux-Midjourney-Mix-LoRA", | |
| "weights": "midjourney-mix.safetensors", | |
| "trigger_word": "midjourney mix" | |
| }, | |
| #31 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-Creative-Stocks-LoRA/resolve/main/images/6.png", | |
| "title": "Creative Stocks", | |
| "repo": "strangerzonehf/Flux-Creative-Stocks-LoRA", | |
| "weights": "Creative-Stocks.safetensors", | |
| "trigger_word": "Creative Stocks" | |
| }, | |
| #82 | |
| { | |
| "image": "https://huggingface.co/fffiloni/carbo-800/resolve/main/images/example_sxso69ocl.png", | |
| "title": "Carbo 800", | |
| "repo": "fffiloni/carbo-800", | |
| "weights": "carbo-800.safetensors", | |
| "trigger_word": "in the style of TOK" | |
| }, | |
| #32 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-Pixel-Background-LoRA/resolve/main/images/2.png", | |
| "title": "Flux Pixel", | |
| "repo": "strangerzonehf/Flux-Pixel-Background-LoRA", | |
| "weights": "Pixel-Background.safetensors", | |
| "trigger_word": "Pixel Background" | |
| }, | |
| #33 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Multi-perspective-Art-Flux/resolve/main/images/1.png", | |
| "title": "Multi Perspective Art", | |
| "repo": "strangerzonehf/Multi-perspective-Art-Flux", | |
| "weights": "Multi-perspective Art .safetensors", | |
| "trigger_word": "Multi-perspective Art" | |
| }, | |
| #34 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Neon-Impressionism-Flux/resolve/main/images/4.png", | |
| "title": "Neon Impressionism Flux", | |
| "repo": "strangerzonehf/Neon-Impressionism-Flux", | |
| "weights": "Neon Impressionism.safetensors", | |
| "trigger_word": "Neon Impressionism" | |
| }, | |
| #35 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-3DXL-Partfile-0006/resolve/main/images/555.png", | |
| "title": "3DXLP6", | |
| "repo": "strangerzonehf/Flux-3DXL-Partfile-0006", | |
| "weights": "3DXLP6.safetensors", | |
| "trigger_word": "3DXLP6" | |
| }, | |
| #36 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-3DXL-Garment-Mannequin/resolve/main/images/2.png", | |
| "title": "Garment Mannequin", | |
| "repo": "strangerzonehf/Flux-3DXL-Garment-Mannequin", | |
| "weights": "3DXL-Mannequin.safetensors", | |
| "trigger_word": "3DXL Mannequin" | |
| }, | |
| #37 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-Xmas-3D-LoRA/resolve/main/images/3.png", | |
| "title": "Xmas 3D", | |
| "repo": "strangerzonehf/Flux-Xmas-3D-LoRA", | |
| "weights": "Flux-Xmas-3D-LoRA.safetensors", | |
| "trigger_word": "Xmas 3D" | |
| }, | |
| #38 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-Xmas-Chocolate-LoRA/resolve/main/images/2.png", | |
| "title": "Xmas Chocolate", | |
| "repo": "strangerzonehf/Flux-Xmas-Chocolate-LoRA", | |
| "weights": "Flux-Xmas-Chocolate.safetensors", | |
| "trigger_word": "Xmas Chocolate" | |
| }, | |
| #39 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-Xmas-Isometric-Kit-LoRA/resolve/main/images/4.png", | |
| "title": "Xmas Isometric Kit", | |
| "repo": "strangerzonehf/Flux-Xmas-Isometric-Kit-LoRA", | |
| "weights": "Xmas-Isometric-Kit.safetensors", | |
| "trigger_word": "Xmas Isometric Kit" | |
| }, | |
| #40 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-Isometric-Site-LoRA/resolve/main/images/1.png", | |
| "title": "Flux Isometric Site", | |
| "repo": "strangerzonehf/Flux-Isometric-Site-LoRA", | |
| "weights": "Isometric-Building.safetensors", | |
| "trigger_word": "Isometric Building" | |
| }, | |
| #41 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-NFT-Art99-LoRA/resolve/main/images/2.png", | |
| "title": "NFT Art 99", | |
| "repo": "strangerzonehf/Flux-NFT-Art99-LoRA", | |
| "weights": "NFT-Art-99.safetensors", | |
| "trigger_word": "NFT Art 99" | |
| }, | |
| #42 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/2021-Art-Flux/resolve/main/images/2222.png", | |
| "title": "2021 Art", | |
| "repo": "strangerzonehf/2021-Art-Flux", | |
| "weights": "2021-Art.safetensors", | |
| "trigger_word": "2021 Art" | |
| }, | |
| #44 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/New-Journey-Art-Flux/resolve/main/images/3333.png", | |
| "title": "New Journey Art", | |
| "repo": "strangerzonehf/New-Journey-Art-Flux", | |
| "weights": "New-Journey-Art.safetensors", | |
| "trigger_word": "New Journey Art" | |
| }, | |
| #45 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Casual-Pencil-Pro/resolve/main/images/333.png", | |
| "title": "Casual Pencil", | |
| "repo": "strangerzonehf/Casual-Pencil-Pro", | |
| "weights": "CasualPencil.safetensors", | |
| "trigger_word": "Casual Pencil" | |
| }, | |
| #46 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Real-Claymation/resolve/main/images/1.png", | |
| "title": "Real Claymation", | |
| "repo": "strangerzonehf/Real-Claymation", | |
| "weights": "Real-Claymation.safetensors", | |
| "trigger_word": "Real Claymation" | |
| }, | |
| #47 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Embroidery-Art-Flux/resolve/main/images/6.png", | |
| "title": "Embroidery Art", | |
| "repo": "strangerzonehf/Embroidery-Art-Flux", | |
| "weights": "embroidery art.safetensors", | |
| "trigger_word": "embroidery art" | |
| }, | |
| #48 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Whaaaattttt-Flux/resolve/main/images/10.png", | |
| "title": "Whaaattt Art", | |
| "repo": "strangerzonehf/Whaaaattttt-Flux", | |
| "weights": "Whaaattt Art.safetensors", | |
| "trigger_word": "Whaaattt Art" | |
| }, | |
| #49 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Oil-Wall-Art-Flux/resolve/main/images/1.png", | |
| "title": "Oil Wall Art Flux", | |
| "repo": "strangerzonehf/Oil-Wall-Art-Flux", | |
| "weights": "oil-art.safetensors", | |
| "trigger_word": "oil art" | |
| }, | |
| #50 | |
| { | |
| "image": "https://huggingface.co/fffiloni/deep-blue-v2/resolve/main/images/example_0o2puhiae.png", | |
| "title": "Deep Blue", | |
| "repo": "fffiloni/deep-blue-v2", | |
| "weights": "deep-blue-v2.safetensors", | |
| "trigger_word": "deep blue, white lines illustration" | |
| }, | |
| #51 | |
| { | |
| "image": "https://huggingface.co/fffiloni/cozy-book-800/resolve/main/images/example_zza0rj1uq.png", | |
| "title": "Cozy Book 800", | |
| "repo": "fffiloni/cozy-book-800", | |
| "weights": "cozy-book-800.safetensors", | |
| "trigger_word": "in the style of TOK" | |
| }, | |
| #52 | |
| { | |
| "image": "https://huggingface.co/kudzueye/Boreal/resolve/main/images/ComfyUI_00822_.png", | |
| "title": "Boreal", | |
| "repo": "kudzueye/Boreal", | |
| "weights": "boreal-flux-dev-lora-v04_1000_steps.safetensors", | |
| "trigger_word": "photo" | |
| }, | |
| #55 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-St-Shot/resolve/main/images/1.png", | |
| "title": "Portrait", | |
| "repo": "strangerzonehf/Flux-St-Shot", | |
| "weights": "st portrait.safetensors", | |
| "trigger_word": "st portrait" | |
| }, | |
| #56 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Pixelo-Flux/resolve/main/images/2.png", | |
| "title": "Better Pixel", | |
| "repo": "strangerzonehf/Pixelo-Flux", | |
| "weights": "pxl.safetensors", | |
| "trigger_word": "better pixel" | |
| }, | |
| #57 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/cinematicShot-Pics-Flux/resolve/main/images/4.png", | |
| "title": "Cinematic Shot", | |
| "repo": "strangerzonehf/cinematicShot-Pics-Flux", | |
| "weights": "cinematic-shot.safetensors", | |
| "trigger_word": "cinematic shot" | |
| }, | |
| #58 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/cinematicShot-Pics-Flux/resolve/main/images/4.png", | |
| "title": "Cinematic Shot", | |
| "repo": "strangerzonehf/cinematicShot-Pics-Flux", | |
| "weights": "cinematic-shot.safetensors", | |
| "trigger_word": "cinematic shot" | |
| }, | |
| #59 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/OleART/resolve/main/images/1.png", | |
| "title": "OleART", | |
| "repo": "strangerzonehf/OleART", | |
| "weights": "ole.safetensors", | |
| "trigger_word": "ole art" | |
| }, | |
| #62 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-3D-Realism-LoRA/resolve/main/images/4.png", | |
| "title": "3D Realism", | |
| "repo": "strangerzonehf/Flux-3D-Realism-LoRA", | |
| "weights": "3D-Realism.safetensors", | |
| "trigger_word": "3D Realism" | |
| }, | |
| #64 | |
| { | |
| "image": "https://huggingface.co/saurabhswami/HumaneArt/resolve/main/images/1.jpg", | |
| "title": "Humane Art", | |
| "repo": "saurabhswami/HumaneArt", | |
| "weights": "humaneart.safetensors", | |
| "trigger_word": "HumaneArt" | |
| }, | |
| #65 | |
| { | |
| "image": "https://huggingface.co/gokaygokay/Flux-Engrave-LoRA/resolve/main/images/image5.jpg", | |
| "title": "Flux Engrave", | |
| "repo": "gokaygokay/Flux-Engrave-LoRA", | |
| "weights": "engrave.safetensors", | |
| "trigger_word": "NGRVNG, engrave, <<your prompt>>" | |
| }, | |
| #66 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-SuperPortrait-v2-LoRA/resolve/main/images/1.png", | |
| "title": "Super Portrait v2", | |
| "repo": "strangerzonehf/Flux-SuperPortrait-v2-LoRA", | |
| "weights": "Super-Portrait-v2.safetensors", | |
| "trigger_word": "Super Portrait v2" | |
| }, | |
| #81 | |
| { | |
| "image": "https://huggingface.co/fffiloni/cute-comic-800/resolve/main/images/example_geha6pn5l.png", | |
| "title": "Cute Comic", | |
| "repo": "fffiloni/cute-comic-800", | |
| "weights": "cute-comic-800.safetensors", | |
| "trigger_word": "in the style of TOK" | |
| }, | |
| #67 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-Mexican-CPunk-LoRA/resolve/main/images/3.png", | |
| "title": "Mexican Cyberpunk", | |
| "repo": "strangerzonehf/Flux-Mexican-CPunk-LoRA", | |
| "weights": "Mexican-Cyberpunk.safetensors", | |
| "trigger_word": "Mexican Cyberpunk" | |
| }, | |
| #68 | |
| { | |
| "image": "https://huggingface.co/glif-loradex-trainer/steam6332_flux_dev_pink_glitter_dust/resolve/main/samples/1731082349941__000001800_0.jpg", | |
| "title": "Pink Glitter Dust", | |
| "repo": "glif-loradex-trainer/steam6332_flux_dev_pink_glitter_dust", | |
| "weights": "flux_dev_pink_glitter_dust.safetensors", | |
| "trigger_word": "pink-glitter-dust" | |
| }, | |
| #69 | |
| { | |
| "image": "https://huggingface.co/glif-loradex-trainer/dham_dham_osteology2/resolve/main/samples/1731452917113__000003000_1.jpg", | |
| "title": "Osteology 2", | |
| "repo": "glif-loradex-trainer/dham_dham_osteology2", | |
| "weights": "dham_osteology2.safetensors", | |
| "trigger_word": "TOK" | |
| }, | |
| #70 | |
| { | |
| "image": "https://huggingface.co/glif-loradex-trainer/chrysoliteop_Chrysolite_Light_Leaks/resolve/main/samples/1732346113846__000003000_1.jpg", | |
| "title": "Chrysolite Light Leaks", | |
| "repo": "glif-loradex-trainer/chrysoliteop_Chrysolite_Light_Leaks", | |
| "weights": "Chrysolite_Light_Leaks.safetensors", | |
| "trigger_word": "LTLKS_CHRYLT" | |
| }, | |
| #71 | |
| { | |
| "image": "https://huggingface.co/AIGCDuckBoss/fluxLora_cute3DModel/resolve/main/images/1.png", | |
| "title": "Cute 3D", | |
| "repo": "AIGCDuckBoss/fluxLora_cute3DModel", | |
| "weights": "flux_cute3DModel.safetensors", | |
| "trigger_word": "3d illustration" | |
| }, | |
| #72 | |
| { | |
| "image": "https://huggingface.co/alvdansen/flux_film_foto/resolve/main/images/ComfyUI_00247_.png", | |
| "title": "Flmft Photo Style", | |
| "repo": "alvdansen/flux_film_foto", | |
| "weights": "araminta_k_flux_film_foto.safetensors", | |
| "trigger_word": "flmft photo style" | |
| }, | |
| #73 | |
| { | |
| "image": "https://huggingface.co/glif/90s-anime-art/resolve/main/images/glif-90s-anime-lora-araminta-k-hgzcnpjlorspm86jhgpl57ph.jpg", | |
| "title": "90s Anime Art", | |
| "repo": "glif/90s-anime-art", | |
| "weights": "flux_dev_anime.safetensors", | |
| "trigger_word": "90s anime art styles" | |
| }, | |
| #74 | |
| { | |
| "image": "https://huggingface.co/Datou1111/Slow-Shutter/resolve/main/images/img__00628_.png", | |
| "title": "Slow Shutter", | |
| "repo": "Datou1111/Slow-Shutter", | |
| "weights": "Slow-Shutter.safetensors", | |
| "trigger_word": "slow shutter photography motion blur" | |
| }, | |
| #75 | |
| { | |
| "image": "https://huggingface.co/Datou1111/Yoji_Shinkawa/resolve/main/images/img__00198_.png", | |
| "title": "Mecha Design Yoji Shinkawa", | |
| "repo": "Datou1111/Yoji_Shinkawa", | |
| "weights": "Yoji_Shinkawa.safetensors", | |
| "trigger_word": "Yoji_Shinkawa" | |
| }, | |
| #76 | |
| { | |
| "image": "https://huggingface.co/Shakker-Labs/FLUX.1-dev-LoRA-Miniature-World/resolve/main/examples/1_0.8.png", | |
| "title": "Miniature World ", | |
| "repo": "Shakker-Labs/FLUX.1-dev-LoRA-Miniature-World", | |
| "weights": "FLUX-dev-lora-Miniature-World.safetensors", | |
| "trigger_word": "a meticulously crafted miniature scene" | |
| }, | |
| #77 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Ctoon-Plus-Plus/resolve/main/images/4.png", | |
| "title": "Ctoon ++", | |
| "repo": "strangerzonehf/Ctoon-Plus-Plus", | |
| "weights": "Ctoon++.safetensors", | |
| "trigger_word": "Ctoon++" | |
| }, | |
| #78 | |
| { | |
| "image": "https://huggingface.co/longnthgmedia/flux_lora_meme_v2/resolve/main/samples/1728923568922__000008000_1.jpg", | |
| "title": "Lora Meme", | |
| "repo": "longnthgmedia/flux_lora_meme_v2", | |
| "weights": "flux_lora_meme_v2.safetensors", | |
| "trigger_word": "" | |
| }, | |
| #79 | |
| { | |
| "image": "https://huggingface.co/fffiloni/greyscale-tiny-town/resolve/main/images/example_ol1f5bbio.png", | |
| "title": "Greyscale Tiny Town", | |
| "repo": "fffiloni/greyscale-tiny-town", | |
| "weights": "greyscale-tiny-town.safetensors", | |
| "trigger_word": "greyscale drawing" | |
| }, | |
| #83 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Dls-ART/resolve/main/images/3.png", | |
| "title": "Dls-ART", | |
| "repo": "strangerzonehf/Dls-ART", | |
| "weights": "Dls-Art.safetensors", | |
| "trigger_word": "Dls-ART" | |
| }, | |
| #84 | |
| { | |
| "image": "https://huggingface.co/fffiloni/sweet-brush/resolve/main/images/example_om6c5d6bt.png", | |
| "title": "Sweet Brush Art", | |
| "repo": "fffiloni/sweet-brush", | |
| "weights": "sweet-brush.safetensors", | |
| "trigger_word": "in the style of TOK" | |
| }, | |
| #85 | |
| { | |
| "image": "https://huggingface.co/glif/l0w-r3z/resolve/main/images/a19d658b-5d4c-45bc-9df6-f2bec54462a5.png", | |
| "title": "ReZ", | |
| "repo": "glif/l0w-r3z", | |
| "weights": "low-rez_000002000.safetensors", | |
| "trigger_word": "-r3z" | |
| }, | |
| #86 | |
| { | |
| "image": "https://huggingface.co/glif-loradex-trainer/fabian3000_mspaint1/resolve/main/samples/1731588572064__000002500_0.jpg", | |
| "title": "MS Paint", | |
| "repo": "glif-loradex-trainer/fabian3000_mspaint1", | |
| "weights": "mspaint1.safetensors", | |
| "trigger_word": "mspaintstyle" | |
| }, | |
| #87 | |
| { | |
| "image": "https://huggingface.co/glif-loradex-trainer/fab1an_1970sbookcovers/resolve/main/samples/1740488542933__000001500_1.jpg", | |
| "title": "1970 Book Cover", | |
| "repo": "glif-loradex-trainer/fab1an_1970sbookcovers", | |
| "weights": "1970sbookcovers.safetensors", | |
| "trigger_word": "1970s sci-fi book cover" | |
| }, | |
| #89 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/RGART/resolve/main/images/4.png", | |
| "title": "RG Art", | |
| "repo": "strangerzonehf/RGART", | |
| "weights": "RB-Art.safetensors", | |
| "trigger_word": "RG Art" | |
| }, | |
| #90 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-Super-Paint-LoRA/resolve/main/images/4.png", | |
| "title": "Super Paint", | |
| "repo": "strangerzonehf/Flux-Super-Paint-LoRA", | |
| "weights": "Super-Paint.safetensors", | |
| "trigger_word": "Super Paint" | |
| }, | |
| #91 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-Sketch-Flat-LoRA/resolve/main/images/11.png", | |
| "title": "Sketch Flat", | |
| "repo": "strangerzonehf/Flux-Sketch-Flat-LoRA", | |
| "weights": "Sketch-Flat.safetensors", | |
| "trigger_word": "Sketch Flat" | |
| }, | |
| #92 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-Claude-Art/resolve/main/images/3.png", | |
| "title": "Flux Claude Art", | |
| "repo": "strangerzonehf/Flux-Claude-Art", | |
| "weights": "claude-art.safetensors", | |
| "trigger_word": "claude art" | |
| }, | |
| #93 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-Sketch-Scribble-LoRA/resolve/main/images/1.png", | |
| "title": "Sketch Scribble", | |
| "repo": "strangerzonehf/Flux-Sketch-Scribble-LoRA", | |
| "weights": "Sketch-Scribble.safetensors", | |
| "trigger_word": "Sketch Scribble" | |
| }, | |
| #94 | |
| { | |
| "image": "https://huggingface.co/strangerzonehf/Flux-3D-Emojies-LoRA/resolve/main/images/2.png", | |
| "title": "3D Emojies", | |
| "repo": "strangerzonehf/Flux-3D-Emojies-LoRA", | |
| "weights": "Flux-3D-Emojies-Mation.safetensors", | |
| "trigger_word": "3D Emojies" | |
| }, | |
| #95 | |
| { | |
| "image": "https://huggingface.co/igorriti/flux-360/resolve/main/sample.png", | |
| "title": "360 Panoramas ", | |
| "repo": "strangerzonehf/Flux-3D-Emojies-LoRA", | |
| "weights": "lora.safetensors", | |
| "trigger_word": "TOK" | |
| }, | |
| #96 | |
| { | |
| "image": "https://huggingface.co/InstantX/FLUX.1-dev-LoRA-Makoto-Shinkai/resolve/main/images/example_1.png", | |
| "title": "Makoto Shinkai", | |
| "repo": "strangerzonehf/Flux-3D-Emojies-LoRA", | |
| "weights": "Makoto_Shinkai_style.safetensors", | |
| "trigger_word": "Makoto Shinkai Style" | |
| }, | |
| #97 | |
| { | |
| "image": "https://huggingface.co/fffiloni/wooly-play-doh/resolve/main/images/example_j0s9hnq2s.png", | |
| "title": "Wooly Play Doh", | |
| "repo": "fffiloni/wooly-play-doh", | |
| "weights": "wooly-play-doh.safetensors", | |
| "trigger_word": "in the style of TOK" | |
| }, | |
| #98 | |
| { | |
| "image": "https://huggingface.co/davidrd123/lora-Kirchner-flux/resolve/main/assets/image_0_0.png", | |
| "title": "Lora Kirchner", | |
| "repo": "davidrd123/lora-Kirchner-flux", | |
| "weights": "pytorch_lora_weights.safetensors", | |
| "trigger_word": "elk_style" | |
| }, | |
| #99 | |
| { | |
| "image": "https://huggingface.co/AiAF/Urcarta-ucrt_LoRA_Flux1/resolve/main/images/1000671824.png", | |
| "title": "Urcarta", | |
| "repo": "AiAF/Urcarta-ucrt_LoRA_Flux1", | |
| "weights": "Urcarta-urct-裏方-Flux1.safetensors", | |
| "trigger_word": "Urcarta \(Artist\), @urct, 裏方 \(芸術家\)" | |
| }, | |
| #100 | |
| { | |
| "image": "https://huggingface.co/mujibanget/vector-illustration/resolve/main/images/7da62627-da2a-4505-bb4e-a38dbf3da45b.png", | |
| "title": "Vector Illustration", | |
| "repo": "mujibanget/vector-illustration", | |
| "weights": "lora-000002.TA_trained.safetensors", | |
| "trigger_word": "mujibvector, vector" | |
| }, | |
| #101 | |
| { | |
| "image": "https://huggingface.co/glif-loradex-trainer/goldenark__WaterColorSketchStyle/resolve/main/samples/1727240451672__000003000_0.jpg", | |
| "title": "Water Color Sketch", | |
| "repo": "glif-loradex-trainer/goldenark__WaterColorSketchStyle", | |
| "weights": "WaterColorSketchStyle.safetensors", | |
| "trigger_word": "WaterColorSketchStyle" | |
| }, | |
| ] | |
| #--------------------------------------------------Model Initialization-----------------------------------------------------------------------------------------# | |
| dtype = torch.bfloat16 | |
| device = "cuda" if torch.cuda.is_available() else "cpu" | |
| base_model = "black-forest-labs/FLUX.1-dev" | |
| #TAEF1 is very tiny autoencoder which uses the same "latent API" as FLUX.1's VAE. FLUX.1 is useful for real-time previewing of the FLUX.1 generation process.# | |
| taef1 = AutoencoderTiny.from_pretrained("madebyollin/taef1", torch_dtype=dtype).to(device) | |
| good_vae = AutoencoderKL.from_pretrained(base_model, subfolder="vae", torch_dtype=dtype).to(device) | |
| pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=dtype, vae=taef1).to(device) | |
| pipe_i2i = AutoPipelineForImage2Image.from_pretrained(base_model, | |
| vae=good_vae, | |
| transformer=pipe.transformer, | |
| text_encoder=pipe.text_encoder, | |
| tokenizer=pipe.tokenizer, | |
| text_encoder_2=pipe.text_encoder_2, | |
| tokenizer_2=pipe.tokenizer_2, | |
| torch_dtype=dtype | |
| ) | |
| MAX_SEED = 2**32-1 | |
| pipe.flux_pipe_call_that_returns_an_iterable_of_images = flux_pipe_call_that_returns_an_iterable_of_images.__get__(pipe) | |
| class calculateDuration: | |
| def __init__(self, activity_name=""): | |
| self.activity_name = activity_name | |
| def __enter__(self): | |
| self.start_time = time.time() | |
| return self | |
| def __exit__(self, exc_type, exc_value, traceback): | |
| self.end_time = time.time() | |
| self.elapsed_time = self.end_time - self.start_time | |
| if self.activity_name: | |
| print(f"Elapsed time for {self.activity_name}: {self.elapsed_time:.6f} seconds") | |
| else: | |
| print(f"Elapsed time: {self.elapsed_time:.6f} seconds") | |
| def update_selection(evt: gr.SelectData, width, height): | |
| selected_lora = loras[evt.index] | |
| new_placeholder = f"Type a prompt for {selected_lora['title']}" | |
| lora_repo = selected_lora["repo"] | |
| updated_text = f"### Selected: [{lora_repo}](https://huggingface.co/{lora_repo}) ✅" | |
| if "aspect" in selected_lora: | |
| if selected_lora["aspect"] == "portrait": | |
| width = 768 | |
| height = 1024 | |
| elif selected_lora["aspect"] == "landscape": | |
| width = 1024 | |
| height = 768 | |
| else: | |
| width = 1024 | |
| height = 1024 | |
| return ( | |
| gr.update(placeholder=new_placeholder), | |
| updated_text, | |
| evt.index, | |
| width, | |
| height, | |
| ) | |
| def generate_image(prompt_mash, steps, seed, cfg_scale, width, height, lora_scale, progress): | |
| pipe.to("cuda") | |
| generator = torch.Generator(device="cuda").manual_seed(seed) | |
| with calculateDuration("Generating image"): | |
| # Generate image | |
| for img in pipe.flux_pipe_call_that_returns_an_iterable_of_images( | |
| prompt=prompt_mash, | |
| num_inference_steps=steps, | |
| guidance_scale=cfg_scale, | |
| width=width, | |
| height=height, | |
| generator=generator, | |
| joint_attention_kwargs={"scale": lora_scale}, | |
| output_type="pil", | |
| good_vae=good_vae, | |
| ): | |
| yield img | |
| def generate_image_to_image(prompt_mash, image_input_path, image_strength, steps, cfg_scale, width, height, lora_scale, seed): | |
| generator = torch.Generator(device="cuda").manual_seed(seed) | |
| pipe_i2i.to("cuda") | |
| image_input = load_image(image_input_path) | |
| final_image = pipe_i2i( | |
| prompt=prompt_mash, | |
| image=image_input, | |
| strength=image_strength, | |
| num_inference_steps=steps, | |
| guidance_scale=cfg_scale, | |
| width=width, | |
| height=height, | |
| generator=generator, | |
| joint_attention_kwargs={"scale": lora_scale}, | |
| output_type="pil", | |
| ).images[0] | |
| return final_image | |
| def run_lora(prompt, image_input, image_strength, cfg_scale, steps, selected_index, randomize_seed, seed, width, height, lora_scale, progress=gr.Progress(track_tqdm=True)): | |
| if selected_index is None: | |
| raise gr.Error("You must select a LoRA before proceeding.🧨") | |
| selected_lora = loras[selected_index] | |
| lora_path = selected_lora["repo"] | |
| trigger_word = selected_lora["trigger_word"] | |
| if(trigger_word): | |
| if "trigger_position" in selected_lora: | |
| if selected_lora["trigger_position"] == "prepend": | |
| prompt_mash = f"{trigger_word} {prompt}" | |
| else: | |
| prompt_mash = f"{prompt} {trigger_word}" | |
| else: | |
| prompt_mash = f"{trigger_word} {prompt}" | |
| else: | |
| prompt_mash = prompt | |
| with calculateDuration("Unloading LoRA"): | |
| pipe.unload_lora_weights() | |
| pipe_i2i.unload_lora_weights() | |
| #LoRA weights flow | |
| with calculateDuration(f"Loading LoRA weights for {selected_lora['title']}"): | |
| pipe_to_use = pipe_i2i if image_input is not None else pipe | |
| weight_name = selected_lora.get("weights", None) | |
| pipe_to_use.load_lora_weights( | |
| lora_path, | |
| weight_name=weight_name, | |
| low_cpu_mem_usage=True | |
| ) | |
| with calculateDuration("Randomizing seed"): | |
| if randomize_seed: | |
| seed = random.randint(0, MAX_SEED) | |
| if(image_input is not None): | |
| final_image = generate_image_to_image(prompt_mash, image_input, image_strength, steps, cfg_scale, width, height, lora_scale, seed) | |
| yield final_image, seed, gr.update(visible=False) | |
| else: | |
| image_generator = generate_image(prompt_mash, steps, seed, cfg_scale, width, height, lora_scale, progress) | |
| final_image = None | |
| step_counter = 0 | |
| for image in image_generator: | |
| step_counter+=1 | |
| final_image = image | |
| progress_bar = f'<div class="progress-container"><div class="progress-bar" style="--current: {step_counter}; --total: {steps};"></div></div>' | |
| yield image, seed, gr.update(value=progress_bar, visible=True) | |
| yield final_image, seed, gr.update(value=progress_bar, visible=False) | |
| def get_huggingface_safetensors(link): | |
| split_link = link.split("/") | |
| if(len(split_link) == 2): | |
| model_card = ModelCard.load(link) | |
| base_model = model_card.data.get("base_model") | |
| print(base_model) | |
| #Allows Both | |
| if((base_model != "black-forest-labs/FLUX.1-dev") and (base_model != "black-forest-labs/FLUX.1-schnell")): | |
| raise Exception("Flux LoRA Not Found!") | |
| # Only allow "black-forest-labs/FLUX.1-dev" | |
| #if base_model != "black-forest-labs/FLUX.1-dev": | |
| #raise Exception("Only FLUX.1-dev is supported, other LoRA models are not allowed!") | |
| image_path = model_card.data.get("widget", [{}])[0].get("output", {}).get("url", None) | |
| trigger_word = model_card.data.get("instance_prompt", "") | |
| image_url = f"https://huggingface.co/{link}/resolve/main/{image_path}" if image_path else None | |
| fs = HfFileSystem() | |
| try: | |
| list_of_files = fs.ls(link, detail=False) | |
| for file in list_of_files: | |
| if(file.endswith(".safetensors")): | |
| safetensors_name = file.split("/")[-1] | |
| if (not image_url and file.lower().endswith((".jpg", ".jpeg", ".png", ".webp"))): | |
| image_elements = file.split("/") | |
| image_url = f"https://huggingface.co/{link}/resolve/main/{image_elements[-1]}" | |
| except Exception as e: | |
| print(e) | |
| gr.Warning(f"You didn't include a link neither a valid Hugging Face repository with a *.safetensors LoRA") | |
| raise Exception(f"You didn't include a link neither a valid Hugging Face repository with a *.safetensors LoRA") | |
| return split_link[1], link, safetensors_name, trigger_word, image_url | |
| def check_custom_model(link): | |
| if(link.startswith("https://")): | |
| if(link.startswith("https://huggingface.co") or link.startswith("https://www.huggingface.co")): | |
| link_split = link.split("huggingface.co/") | |
| return get_huggingface_safetensors(link_split[1]) | |
| else: | |
| return get_huggingface_safetensors(link) | |
| def add_custom_lora(custom_lora): | |
| global loras | |
| if(custom_lora): | |
| try: | |
| title, repo, path, trigger_word, image = check_custom_model(custom_lora) | |
| print(f"Loaded custom LoRA: {repo}") | |
| card = f''' | |
| <div class="custom_lora_card"> | |
| <span>Loaded custom LoRA:</span> | |
| <div class="card_internal"> | |
| <img src="{image}" /> | |
| <div> | |
| <h3>{title}</h3> | |
| <small>{"Using: <code><b>"+trigger_word+"</code></b> as the trigger word" if trigger_word else "No trigger word found. If there's a trigger word, include it in your prompt"}<br></small> | |
| </div> | |
| </div> | |
| </div> | |
| ''' | |
| existing_item_index = next((index for (index, item) in enumerate(loras) if item['repo'] == repo), None) | |
| if(not existing_item_index): | |
| new_item = { | |
| "image": image, | |
| "title": title, | |
| "repo": repo, | |
| "weights": path, | |
| "trigger_word": trigger_word | |
| } | |
| print(new_item) | |
| existing_item_index = len(loras) | |
| loras.append(new_item) | |
| return gr.update(visible=True, value=card), gr.update(visible=True), gr.Gallery(selected_index=None), f"Custom: {path}", existing_item_index, trigger_word | |
| except Exception as e: | |
| gr.Warning(f"Invalid LoRA: either you entered an invalid link, or a non-FLUX LoRA") | |
| return gr.update(visible=True, value=f"Invalid LoRA: either you entered an invalid link, a non-FLUX LoRA"), gr.update(visible=False), gr.update(), "", None, "" | |
| else: | |
| return gr.update(visible=False), gr.update(visible=False), gr.update(), "", None, "" | |
| def remove_custom_lora(): | |
| return gr.update(visible=False), gr.update(visible=False), gr.update(), "", None, "" | |
| run_lora.zerogpu = True | |
| css = ''' | |
| #gen_btn{height: 100%} | |
| #gen_column{align-self: stretch} | |
| #title{text-align: center} | |
| #title h1{font-size: 3em; display:inline-flex; align-items:center} | |
| #title img{width: 100px; margin-right: 0.5em} | |
| #gallery .grid-wrap{height: 10vh} | |
| #lora_list{background: var(--block-background-fill);padding: 0 1em .3em; font-size: 90%} | |
| .card_internal{display: flex;height: 100px;margin-top: .5em} | |
| .card_internal img{margin-right: 1em} | |
| .styler{--form-gap-width: 0px !important} | |
| #progress{height:30px} | |
| #progress .generating{display:none} | |
| .progress-container {width: 100%;height: 30px;background-color: #f0f0f0;border-radius: 15px;overflow: hidden;margin-bottom: 20px} | |
| .progress-bar {height: 100%;background-color: #4f46e5;width: calc(var(--current) / var(--total) * 100%);transition: width 0.5s ease-in-out} | |
| ''' | |
| with gr.Blocks(theme=gr.themes.Soft(), css=css, delete_cache=(60, 60)) as app: | |
| title = gr.HTML( | |
| """<h1>FLUX LoRA DLC2🔥</h1>""", | |
| elem_id="title", | |
| ) | |
| selected_index = gr.State(None) | |
| with gr.Row(): | |
| with gr.Column(scale=3): | |
| prompt = gr.Textbox(label="Prompt", lines=1, placeholder=":/ choose the LoRA and type the prompt ") | |
| with gr.Column(scale=1, elem_id="gen_column"): | |
| generate_button = gr.Button("Generate", variant="primary", elem_id="gen_btn") | |
| with gr.Row(): | |
| with gr.Column(): | |
| selected_info = gr.Markdown("") | |
| gallery = gr.Gallery( | |
| [(item["image"], item["title"]) for item in loras], | |
| label="100+ LoRA DLC's", | |
| allow_preview=False, | |
| columns=3, | |
| elem_id="gallery", | |
| show_share_button=False | |
| ) | |
| with gr.Group(): | |
| custom_lora = gr.Textbox(label="Enter Custom LoRA", placeholder="prithivMLmods/Canopus-LoRA-Flux-Anime") | |
| gr.Markdown("[Check the list of FLUX LoRA's](https://huggingface.co/models?other=base_model:adapter:black-forest-labs/FLUX.1-dev)", elem_id="lora_list") | |
| custom_lora_info = gr.HTML(visible=False) | |
| custom_lora_button = gr.Button("Remove custom LoRA", visible=False) | |
| with gr.Column(): | |
| progress_bar = gr.Markdown(elem_id="progress",visible=False) | |
| result = gr.Image(label="Generated Image", format="png") | |
| with gr.Row(): | |
| with gr.Accordion("Advanced Settings", open=False): | |
| with gr.Row(): | |
| input_image = gr.Image(label="Input image", type="filepath") | |
| image_strength = gr.Slider(label="Denoise Strength", info="Lower means more image influence", minimum=0.1, maximum=1.0, step=0.01, value=0.75) | |
| with gr.Column(): | |
| with gr.Row(): | |
| cfg_scale = gr.Slider(label="CFG Scale", minimum=1, maximum=20, step=0.5, value=3.5) | |
| steps = gr.Slider(label="Steps", minimum=1, maximum=50, step=1, value=28) | |
| with gr.Row(): | |
| width = gr.Slider(label="Width", minimum=256, maximum=1536, step=64, value=1024) | |
| height = gr.Slider(label="Height", minimum=256, maximum=1536, step=64, value=1024) | |
| with gr.Row(): | |
| randomize_seed = gr.Checkbox(True, label="Randomize seed") | |
| seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0, randomize=True) | |
| lora_scale = gr.Slider(label="LoRA Scale", minimum=0, maximum=3, step=0.01, value=0.95) | |
| gallery.select( | |
| update_selection, | |
| inputs=[width, height], | |
| outputs=[prompt, selected_info, selected_index, width, height] | |
| ) | |
| custom_lora.input( | |
| add_custom_lora, | |
| inputs=[custom_lora], | |
| outputs=[custom_lora_info, custom_lora_button, gallery, selected_info, selected_index, prompt] | |
| ) | |
| custom_lora_button.click( | |
| remove_custom_lora, | |
| outputs=[custom_lora_info, custom_lora_button, gallery, selected_info, selected_index, custom_lora] | |
| ) | |
| gr.on( | |
| triggers=[generate_button.click, prompt.submit], | |
| fn=run_lora, | |
| inputs=[prompt, input_image, image_strength, cfg_scale, steps, selected_index, randomize_seed, seed, width, height, lora_scale], | |
| outputs=[result, seed, progress_bar] | |
| ) | |
| app.queue() | |
| app.launch(ssr_mode=False) |