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lyogavin / pint_char_img_bat1-4_v15
Model's Last Updated: January 15 2024
text-to-image
Introduction of pint_char_img_bat1-4_v15
Model Details of pint_char_img_bat1-4_v15
Text-to-image finetuning - lyogavin/pint_char_img_bat1-4_v15
This pipeline was finetuned from runwayml/stable-diffusion-v1-5 on the lyogavin/pint_char_anim_interr_static_img_bat1-4 dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['a pixel art of a fire breathing man with a sword, melted cyborg, featured on dribbble, symmetry!! yellow ranger, biker, fantasy ttrpg villain, engulfed in flames, laser wip, in style of primal apes, blackened space, 8bits videogame', 'a pixel art of a fire breathing man with a sword, melted cyborg, featured on dribbble, symmetry!! yellow ranger, biker, fantasy ttrpg villain, engulfed in flames, laser wip, in style of primal apes, blackened space, 8bits videogame', 'a pixel art of a fire breathing man with a sword, melted cyborg, featured on dribbble, symmetry!! yellow ranger, biker, fantasy ttrpg villain, engulfed in flames, laser wip, in style of primal apes, blackened space, 8bits videogame', 'a close up of a cartoon dragon with a purple and blue head, game concept art sprite sheet, rhino beetle, by Shitao, made of lava, laser wip, bulbasaur, metal border, very clear image, tank, 64x64, from overlord, inside stylized border', 'a close up of a cartoon dragon with a purple and blue head, game concept art sprite sheet, rhino beetle, by Shitao, made of lava, laser wip, bulbasaur, metal border, very clear image, tank, 64x64, from overlord, inside stylized border', 'a close up of a cartoon dragon with a purple and blue head, game concept art sprite sheet, rhino beetle, by Shitao, made of lava, laser wip, bulbasaur, metal border, very clear image, tank, 64x64, from overlord, inside stylized border']:
Pipeline usage
You can use the pipeline like so:
from diffusers import DiffusionPipeline
import torch
pipeline = DiffusionPipeline.from_pretrained("lyogavin/pint_char_img_bat1-4_v15", torch_dtype=torch.float16)
prompt = "a pixel art of a fire breathing man with a sword, melted cyborg, featured on dribbble, symmetry!! yellow ranger, biker, fantasy ttrpg villain, engulfed in flames, laser wip, in style of primal apes, blackened space, 8bits videogame"
image = pipeline(prompt).images[0]
image.save("my_image.png")
Training info
These are the key hyperparameters used during training:
- Epochs: 97
- Learning rate: 1e-05
- Batch size: 4
- Gradient accumulation steps: 1
- Image resolution: 512
- Mixed-precision: fp16
More information on all the CLI arguments and the environment are available on your
wandb
run page
.
Runs of lyogavin pint_char_img_bat1-4_v15 on huggingface.co
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More Information About pint_char_img_bat1-4_v15 huggingface.co Model
Url of pint_char_img_bat1-4_v15
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Provider of pint_char_img_bat1-4_v15 huggingface.co
Other API from lyogavin
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