Instructions to use yazerakbar/flux-evil-config with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yazerakbar/flux-evil-config with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yazerakbar/flux-evil-config", 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
remove LFS bins a5e68f4
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fix: add shared.weight + encoder.final_layer_norm fa1dc53
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fix: T5 encoder.embed_tokens + encoder.block prefix dcf9f91
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fix: T5 encoder keys without prefix 3cfc76b
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fix: T5 encoder-only weights (remove decoder) 4302a62
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fix: T5-base 768dim for text_encoder_2 e808dab
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add T5 pytorch_model.bin 8434a24
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