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base_model:
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- black-forest-labs/FLUX.1-dev
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license: other
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tags:
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- lora
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---
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#
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<!-- Provide a quick summary of what the model is/does. -->
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This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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## Model Card Authors [optional]
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[
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---
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tags:
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- text-to-image
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- stable-diffusion
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- lora
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- diffusers
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- template:sd-lora
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widget:
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- text: >-
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c0m1c style vintage comic cover of a psychic woman sitting at a covered red
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table, in a haunting manor scene, the illustration style is macabre,
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candles in the bacground over a mantle, the psychic is hovering her hands
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over a purple crystal ball. Title test reads "Tales from the Flux" in an
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eerie type face. In the lower corner show a price of 15 cents and the date
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SEP 2024
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output:
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url: images/ComfyUI_09868_.png
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- text: >-
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c0m1c style vintage 1930s style comic strip panel of a rich old man wearing
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a top hat and dapper suit deep in thought, thinking with a thought bubble
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that reads "No FLUX were given?"
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output:
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url: images/ComfyUI_temp_ipugi_00131_.png
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- text: >-
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c0m1c style comic book strip panel of two men having a staring contest in a
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bar, pop art style, with the thought bubble sayings "Blink." and "You
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first."
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output:
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url: images/ComfyUI_temp_ipugi_00079_.png
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- text: >-
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c0m1c style comic book strip panel of a glam 1980s superhero woman, with the
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speech bubble saying "My spirit animal is a WiFi symbol!" purple wifi icon
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on her chest
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output:
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url: images/ComfyUI_temp_ipugi_00071_.png
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- text: >-
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c0m1c style comic book strip 2 panels of a woman laughing hysterically,
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1950s living room. In the first panel one speech bubble "And then he said he
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uses SD3!" over the head of a woman telling her friends a funny joke In
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the second panel there are multiple speech bubbles over each woman's head
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with the words "HAHA" in various ways, their heads are tilted back in heavy
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laughter.
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output:
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url: images/ComfyUI_temp_ipugi_00085_.png
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- text: >-
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c0m1c style comic book strip panel of a woman in her living room glam style,
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with the speech bubble saying "There's no place like latent space."
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everything is pink including her dress
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output:
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url: images/ComfyUI_temp_ipugi_00076_.png
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- text: >-
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c0m1c style comic book strip panel of a superhero, with the speech bubble
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saying "I am Captain Flux!" with a big black F emblem on his chest
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output:
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url: images/ComfyUI_temp_ipugi_00068_.png
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- text: >-
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c0m1c style comic strip panel of a pop art woman fashion model, side
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profile, speech above says "OH FLUX!"
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output:
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url: images/ComfyUI_temp_ipugi_00040_.png
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- text: >-
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c0m1c style woman with red hair in a laundry room, vintage illustrated ad
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for laundry detergent the brand name is FLUX in orange letters the
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pre-heading above the logo reads "Where clean clothes meet clean pixels."
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The woman is holding a laundry baskest with folded clothes and smiling in
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bliss.
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output:
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url: images/ComfyUI_09863_.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: c0m1c, comic book panel
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license: creativeml-openrail-m
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---
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# Retro Comic Flux
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<Gallery />
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## Model description
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Retro Comic Flux is a Flux LoRA trained on a dataset consisting entirely of public domain images manually sourced, cropped and enhanced. I used ~50 images 3 repeats 15 epochs and 0.0001 learning rate. These were all captioned using Joy Caption Batch.
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This is very experimental and I had a difficult time sourcing high quality images of animals and vehicles in this style, so for now it's primarily good with human figures. It work best when you describe the character and a scene for a backdrop. It struggles with hands and eyes sometimes. If something is really not in the dataset it defaults to an ordinary AI illustration style.
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USE DEIS SAMPLER FOR THE BEST RESULTS.
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I used very similar settings as I have with my previous LoRAs so I won't go into detail for the sake of my time and brevity, low learning rates with less repeats and good data work best for simple styles.
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I was careful in my selection of images and preprocessed each image in Photoshop to bring out vivid colors, reduce the yellowing and boost contrast. This helped me to maintain a consistent coloring and I believe it improved the training quality. When I did this I also removed the speech from speech bubbles from some of the training data for more flexibility and to help Flux understand context. You can explicitly state "empty speech bubble" in your prompts and it tends to work. If you want to dive in deeper try using an image captioner to describe a style you want to emulate, the images have rich captions and the model responds well to natural language.
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Definitely expect a V2 of this LoRA soon, I have some ideas on how I can improve consistency but I need to find more varied source images.
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Trigger keyword: 'c0m1c' 'comic book panel'
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Recommended strengths: 0.7 - 0.9
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## Trigger words
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You should use `Ce` to trigger the image generation.
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You should use `comic book panel` to trigger the image generation.
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## Download model
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Weights for this model are available in Safetensors format.
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[Download](/renderartist/retrocomicflux/tree/main) them in the Files & versions tab.
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