Instructions to use TheLastBen/THE_FISH with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheLastBen/THE_FISH with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("TheLastBen/THE_FISH") prompt = "daiton" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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README.md
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#### Prompts to start with :
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closeup on fluffy pikachu wearing a hoodie in a street in london, cinematic, screencap, high quality
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---
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Trained using https://github.com/TheLastBen/fast-stable-diffusion SDXL trainer.
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ComfyUI seems to give better results than A1111, but that's just me.
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#### Sample pictures:
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#### Prompts to start with :
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(daiton:1.2) (giant:1.15) demon, inside a dark creepy abandoned mine at (night:1.1), (dolly zoom:1.1) , flash photography, by william eggleston, closeup, cinematic, still frame, 4k
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- ComfyUI is recommended for best quality,
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- Use the sample images to load the settings onto the UI.
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Trained using https://github.com/TheLastBen/fast-stable-diffusion SDXL trainer.
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#### Sample pictures:
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