Instructions to use imnotednamode/Chroma-v36-dc-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use imnotednamode/Chroma-v36-dc-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("imnotednamode/Chroma-v36-dc-diffusers", torch_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
Update README.md
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README.md
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@@ -17,7 +17,7 @@ from transformers import T5EncoderModel, T5Tokenizer
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chroma_transformer = ChromaTransformer2DModel.from_single_file("chroma-unlocked-v35.safetensors", torch_dtype=torch.bfloat16)
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text_encoder = T5EncoderModel.from_pretrained("black-forest-labs/FLUX.1-schnell", subfolder="text_encoder_2", torch_dtype=torch.bfloat16)
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tokenizer = T5Tokenizer.from_pretrained("black-forest-labs/FLUX.1-schnell", subfolder="tokenizer_2"
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pipe = ChromaPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", transformer=chroma_transformer, text_encoder=text_encoder, tokenizer=tokenizer, torch_dtype=torch.bfloat16)
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pipe.save_pretrained("Chroma-v36-dc-diffusers")
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chroma_transformer = ChromaTransformer2DModel.from_single_file("chroma-unlocked-v35.safetensors", torch_dtype=torch.bfloat16)
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text_encoder = T5EncoderModel.from_pretrained("black-forest-labs/FLUX.1-schnell", subfolder="text_encoder_2", torch_dtype=torch.bfloat16)
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tokenizer = T5Tokenizer.from_pretrained("black-forest-labs/FLUX.1-schnell", subfolder="tokenizer_2")
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pipe = ChromaPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", transformer=chroma_transformer, text_encoder=text_encoder, tokenizer=tokenizer, torch_dtype=torch.bfloat16)
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pipe.save_pretrained("Chroma-v36-dc-diffusers")
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