Instructions to use crumb/icon-diffusion-v1-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use crumb/icon-diffusion-v1-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("crumb/icon-diffusion-v1-1", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#4)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (deecad5e0e083f9058dff7ba24689d873a8d5f39) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>d92aa5e
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Add `scale_factor` to vae config. (#3)
- Add `scale_factor` to vae config. (17b9f2af5775b97e99a726832d20b894e9286136) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>363bb8f
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Add `clip_sample=False` to scheduler to make model compatible with DDIM. (#2)
- Add `clip_sample=False` to scheduler to make model compatible with DDIM. (729cd2a9f2a390e6af0d425ec618cd7b0ca87190) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>2ad48ee
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Correct `sample_size` of Stable Diffusion 1's unet to have correct width and height default (#1)
- Correct `sample_size` of Stable Diffusion 1's unet to have correct width and height default (373ce08245ad221447fe5e609ec450b31ae5e25d) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>d1d8593
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