Instructions to use flax/midjourney-v4-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use flax/midjourney-v4-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("flax/midjourney-v4-diffusion", 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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T1
9aadc3e
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Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#5)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (ee1430f53b63fce515d1f83415fa5a3750b04b78)abd6b3f
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Add `scale_factor` to vae config. (#4)
- Add `scale_factor` to vae config. (5edd180104a521c39d5cc7d9e075507ce07f60e5) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>46ecd4e
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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. (44a5f5129e1fe2635c23199ba341c504d3a88c7d) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>0a6a2ea
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Update unet/config.json
8148096
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Update README.md
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flax
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initial commit
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