Instructions to use cjayic/late-stage-jerma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cjayic/late-stage-jerma with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cjayic/late-stage-jerma", 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`. (#3)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (2257c128a8a8e9d80052fdd2c7af00aef21fc49b)dc5fa96
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Add `clip_sample=False` to scheduler to make model compatible with DDIM. (#1)
- Add `clip_sample=False` to scheduler to make model compatible with DDIM. (53a378bad09ee591257e856fc0982f00689833de) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>e2bdecd -
Add `scale_factor` to vae config. (#2)
- Add `scale_factor` to vae config. (21dec429cabce95894b29c039afba1cff30ca61c) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>4a50ad5
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Upload concept_images with huggingface_hub
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Upload with huggingface_hub
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Upload the concept late_stage_jerma embeds and token
5bd7118 -
initial commit
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