Instructions to use ChuuniZ/comfyui-image-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChuuniZ/comfyui-image-models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ChuuniZ/comfyui-image-models", 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
Upload florence2/large-ft/modeling_florence2.py
Browse files
florence2/large-ft/modeling_florence2.py
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@@ -2059,7 +2059,7 @@ class Florence2LanguageModel(Florence2LanguagePreTrainedModel):
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class Florence2LanguageForConditionalGeneration(Florence2LanguagePreTrainedModel):
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base_model_prefix = "model"
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_tied_weights_keys = ["encoder.embed_tokens.weight", "decoder.embed_tokens.weight", "lm_head.weight"]
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_keys_to_ignore_on_load_missing = ["final_logits_bias"]
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)
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class Florence2LanguageForConditionalGeneration(Florence2LanguagePreTrainedModel, GenerationMixin):
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base_model_prefix = "model"
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_tied_weights_keys = ["encoder.embed_tokens.weight", "decoder.embed_tokens.weight", "lm_head.weight"]
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_keys_to_ignore_on_load_missing = ["final_logits_bias"]
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