Instructions to use tiny-random/flux-3-image-klein-comfy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tiny-random/flux-3-image-klein-comfy with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tiny-random/flux-3-image-klein-comfy", 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
Download modular_model_index.json from tiny-random/flux-3-image-klein-comfy: direct link, hf CLI and curl.
- Browser
- Download file 1.61 kB
-
https://huggingface.co/tiny-random/flux-3-image-klein-comfy/resolve/main/modular_model_index.json
- Command line
-
hf download hf://tiny-random/flux-3-image-klein-comfy/modular_model_index.json
-
curl -L -o modular_model_index.json https://huggingface.co/tiny-random/flux-3-image-klein-comfy/resolve/main/modular_model_index.json
1.61 kB
| { | |
| "_class_name": "Flux3DistilledModularPipeline", | |
| "_blocks_class_name": "Flux3DistilledAutoBlocks", | |
| "transformer": [ | |
| "diffusers", | |
| "Flux3Transformer2DModel", | |
| { | |
| "type_hint": [ | |
| "diffusers", | |
| "Flux3Transformer2DModel" | |
| ], | |
| "pretrained_model_name_or_path": ".", | |
| "subfolder": "transformer" | |
| } | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKLFlux2", | |
| { | |
| "type_hint": [ | |
| "diffusers", | |
| "AutoencoderKLFlux2" | |
| ], | |
| "pretrained_model_name_or_path": ".", | |
| "subfolder": "vae" | |
| } | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "Qwen3VLForConditionalGeneration", | |
| { | |
| "type_hint": [ | |
| "transformers", | |
| "Qwen3VLForConditionalGeneration" | |
| ], | |
| "pretrained_model_name_or_path": ".", | |
| "subfolder": "text_encoder" | |
| } | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "AutoProcessor", | |
| { | |
| "type_hint": [ | |
| "transformers", | |
| "AutoProcessor" | |
| ], | |
| "pretrained_model_name_or_path": ".", | |
| "subfolder": "tokenizer" | |
| } | |
| ], | |
| "prompt_upsampler": [ | |
| "transformers", | |
| "Qwen3_5ForConditionalGeneration", | |
| { | |
| "type_hint": [ | |
| "transformers", | |
| "Qwen3_5ForConditionalGeneration" | |
| ], | |
| "pretrained_model_name_or_path": ".", | |
| "subfolder": "prompt_upsampler" | |
| } | |
| ], | |
| "prompt_upsampler_processor": [ | |
| "transformers", | |
| "AutoProcessor", | |
| { | |
| "type_hint": [ | |
| "transformers", | |
| "AutoProcessor" | |
| ], | |
| "pretrained_model_name_or_path": ".", | |
| "subfolder": "prompt_upsampler_processor" | |
| } | |
| ] | |
| } | |