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Revert "xl"
Browse filesThis reverts commit 4ba5fc123224b7087be42a1a58031f4ebe85c973.
app.py
CHANGED
@@ -4,7 +4,6 @@ import torch
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from PIL import Image, ImageDraw, ImageFont, ImageOps, ImageEnhance
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from quanto import qfloat8, quantize, freeze
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from diffusers import StableDiffusionControlNetPipeline, ControlNetModel
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from diffusers import StableDiffusionXLControlNetPipeline, UNet2DConditionModel, DiffusionPipeline, LCMScheduler
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from diffusers.utils import make_image_grid
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atkbold = ImageFont.truetype("Atkinson-Hyperlegible-Bold-102.otf",50)
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@@ -46,12 +45,12 @@ def mask_image_factory(mask_text="ASK FOR\nA SNACK", width=default_width, height
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preferred_device = "cuda" if torch.cuda.is_available() else ("mps" if torch.backends.mps.is_available() else "cpu")
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# preferred_device = "cpu"
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preferred_dtype = torch.float32
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controlnet = ControlNetModel.from_pretrained(
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"monster-labs/control_v1p_sdxl_qrcode_monster",
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-
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torch_dtype=preferred_dtype,
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#torch_dtype=unet_preferred_dtype
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).to(preferred_device)
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@@ -59,22 +58,13 @@ controlnet = ControlNetModel.from_pretrained(
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#quantize(controlnet, weights=qfloat8)
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#freeze(controlnet)
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"
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torch_dtype=preferred_dtype,
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variant="fp16",
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).to(preferred_device)
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ctlpipe = StableDiffusionXLControlNetPipeline.from_pretrained(
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"stabilityai/stable-diffusion-xl-base-1.0",
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unet=unet,
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controlnet=controlnet,
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torch_dtype=preferred_dtype,
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safety_checker=None,
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).to(preferred_device)
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ctlpipe.scheduler = LCMScheduler.from_config(ctlpipe.scheduler.config)
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#quantize(ctlpipe.unet, weights=qfloat8)
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#freeze(ctlpipe.unet)
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#quantize(ctlpipe.text_encoder, weights=qfloat8)
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from PIL import Image, ImageDraw, ImageFont, ImageOps, ImageEnhance
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from quanto import qfloat8, quantize, freeze
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from diffusers import StableDiffusionControlNetPipeline, ControlNetModel
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from diffusers.utils import make_image_grid
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atkbold = ImageFont.truetype("Atkinson-Hyperlegible-Bold-102.otf",50)
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preferred_device = "cuda" if torch.cuda.is_available() else ("mps" if torch.backends.mps.is_available() else "cpu")
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# preferred_device = "cpu"
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preferred_dtype = torch.float32
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controlnet = ControlNetModel.from_pretrained(
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"monster-labs/control_v1p_sd15_qrcode_monster",
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# "monster-labs/control_v1p_sdxl_qrcode_monster",
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subfolder="v2",
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torch_dtype=preferred_dtype,
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#torch_dtype=unet_preferred_dtype
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).to(preferred_device)
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#quantize(controlnet, weights=qfloat8)
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#freeze(controlnet)
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ctlpipe = StableDiffusionControlNetPipeline.from_pretrained(
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"SimianLuo/LCM_Dreamshaper_v7",
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controlnet=controlnet,
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torch_dtype=preferred_dtype,
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safety_checker=None,
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).to(preferred_device)
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#quantize(ctlpipe.unet, weights=qfloat8)
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#freeze(ctlpipe.unet)
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#quantize(ctlpipe.text_encoder, weights=qfloat8)
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