Model Intelligence Sheet
unsloth/flux.1-schnell-gguf overview
Cutting-edge output quality and competitive prompt following, matching the performance of closed source alternatives. 2. Trained using latent adversarial diffusion distillation, FLUX.1 [schnell] can generate high-quality images in only 1 to 4 steps. 3. Released under the apache-2.0 licence, the model can be used for personal, scientific, and commercial purposes. # Usage We provide a reference implementation of FLUX.1 [schnell], as well as sampling code, in a dedicated github repository. Developers and creatives looking to build on top of FLUX.1 [schnell] are encouraged to use this as a starting point.
Downloads
1,907
Likes
14
Pipeline
text-to-image
Library
—
Visibility
Public
Access
Open
Repository Files & Downloads
15 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| flux1-schnell-BF16.gguf | GGUF | BF16 | 22.15 GB | Download |
| flux1-schnell-F16.gguf | GGUF | F16 | 22.15 GB | Download |
| flux1-schnell-Q2_K.gguf | GGUF | Q2_K | 3.73 GB | Download |
| flux1-schnell-Q3_K_M.gguf | GGUF | Q3_K_M | 4.98 GB | Download |
| flux1-schnell-Q3_K_S.gguf | GGUF | Q3_K_S | 4.85 GB | Download |
| flux1-schnell-Q4_0.gguf | GGUF | — | 6.31 GB | Download |
| flux1-schnell-Q4_1.gguf | GGUF | — | 7.00 GB | Download |
| flux1-schnell-Q4_K_M.gguf | GGUF | Q4_K_M | 6.44 GB | Download |
| flux1-schnell-Q4_K_S.gguf | GGUF | Q4_K_S | 6.31 GB | Download |
| flux1-schnell-Q5_0.gguf | GGUF | — | 7.69 GB | Download |
| flux1-schnell-Q5_1.gguf | GGUF | — | 8.38 GB | Download |
| flux1-schnell-Q5_K_M.gguf | GGUF | Q5_K_M | 7.82 GB | Download |
| flux1-schnell-Q5_K_S.gguf | GGUF | Q5_K_S | 7.69 GB | Download |
| flux1-schnell-Q6_K.gguf | GGUF | Q6_K | 9.15 GB | Download |
| flux1-schnell-Q8_0.gguf | GGUF | — | 11.82 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"language": [
"en"
],
"license": "apache-2.0",
"tags": [
"text-to-image",
"image-generation",
"flux"
],
"base_model": [
"black-forest-labs/FLUX.1-schnell"
],
"frontmatter": {
"language": [
"en"
],
"license": "apache-2.0",
"tags": [
"text-to-image",
"image-generation",
"flux"
],
"base_model": [
"black-forest-labs/FLUX.1-schnell"
]
},
"hero_image_url": "",
"summary": "1. Cutting-edge output quality and competitive prompt following, matching the performance of closed source alternatives. 2. Trained using latent adversarial diffusion distillation, FLUX.1 [schnell] can generate high-quality images in only 1 to 4 steps. 3. Released under the apache-2.0 licence, the model can be used for personal, scientific, and commercial purposes. # Usage We provide a reference implementation of FLUX.1 [schnell], as well as sampling code, in a dedicated github repository. Developers and creatives looking to build on top of FLUX.1 [schnell] are encouraged to use this as a starting point.",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nlanguage:\n- en\nlicense: apache-2.0\ntags:\n- text-to-image\n- image-generation\n- flux\nbase_model:\n- black-forest-labs/FLUX.1-schnell\n---\n\n`FLUX.1 [schnell]` is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions.\nFor more information, please read our [blog post](https://blackforestlabs.ai/announcing-black-forest-labs/).\n# Key Features\n1. Cutting-edge output quality and competitive prompt following, matching the performance of closed source alternatives.\n2. Trained using latent adversarial diffusion distillation, `FLUX.1 [schnell]` can generate high-quality images in only 1 to 4 steps.\n3. Released under the `apache-2.0` licence, the model can be used for personal, scientific, and commercial purposes.\n# Usage\nWe provide a reference implementation of `FLUX.1 [schnell]`, as well as sampling code, in a dedicated [github repository](https://github.com/black-forest-labs/flux).\nDevelopers and creatives looking to build on top of `FLUX.1 [schnell]` are encouraged to use this as a starting point.\n## API Endpoints\nThe FLUX.1 models are also available via API from the following sources\n- [bfl.ml](https://docs.bfl.ml/) (currently `FLUX.1 [pro]`)\n- [replicate.com](https://replicate.com/collections/flux)\n- [fal.ai](https://fal.ai/models/fal-ai/flux/schnell)\n- [mystic.ai](https://www.mystic.ai/black-forest-labs/flux1-schnell)\n## ComfyUI\n`FLUX.1 [schnell]` is also available in [Comfy UI](https://github.com/comfyanonymous/ComfyUI) for local inference with a node-based workflow.\n## Diffusers\nTo use `FLUX.1 [schnell]` with the 🧨 diffusers python library, first install or upgrade diffusers\n```shell\npip install -U diffusers\n```\nThen you can use `FluxPipeline` to run the model\n```python\nimport torch\nfrom diffusers import FluxPipeline\npipe = FluxPipeline.from_pretrained(\"black-forest-labs/FLUX.1-schnell\", torch_dtype=torch.bfloat16)\npipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power\n\nprompt = \"A cat holding a sign that says hello world\"\nimage = pipe(\n prompt,\n guidance_scale=0.0,\n num_inference_steps=4,\n max_sequence_length=256,\n generator=torch.Generator(\"cpu\").manual_seed(0)\n).images[0]\nimage.save(\"flux-schnell.png\")\n```\nTo learn more check out the [diffusers](https://huggingface.co/docs/diffusers/main/en/api/pipelines/flux) documentation\n\n---\n# Limitations\n- This model is not intended or able to provide factual information.\n- As a statistical model this checkpoint might amplify existing societal biases.\n- The model may fail to generate output that matches the prompts.\n- Prompt following is heavily influenced by the prompting-style.\n\n# Out-of-Scope Use\nThe model and its derivatives may not be used\n\n- In any way that violates any applicable national, federal, state, local or international law or regulation.\n- For the purpose of exploiting, harming or attempting to exploit or harm minors in any way; including but not limited to the solicitation, creation, acquisition, or dissemination of child exploitative content.\n- To generate or disseminate verifiably false information and/or content with the purpose of harming others.\n- To generate or disseminate personal identifiable information that can be used to harm an individual.\n- To harass, abuse, threaten, stalk, or bully individuals or groups of individuals.\n- To create non-consensual nudity or illegal pornographic content.\n- For fully automated decision making that adversely impacts an individual's legal rights or otherwise creates or modifies a binding, enforceable obligation.\n- Generating or facilitating large-scale disinformation campaigns.",
"related_quantizations": []
},
"tags": [
"gguf",
"text-to-image",
"image-generation",
"flux",
"en",
"base_model:black-forest-labs/FLUX.1-schnell",
"base_model:quantized:black-forest-labs/FLUX.1-schnell",
"license:apache-2.0",
"region:us"
],
"likes": 14,
"downloads": 1907,
"gated": false,
"private": false,
"last_modified": "2025-06-30T10:56:24.000Z",
"created_at": "2025-06-30T10:50:31.000Z",
"pipeline_tag": "text-to-image",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "68626bf794640fe6cf34e3e2",
"id": "unsloth/FLUX.1-schnell-GGUF",
"modelId": "unsloth/FLUX.1-schnell-GGUF",
"sha": "65b3e21589c5dc66402b02a079208201ae9fcfc3",
"createdAt": "2025-06-30T10:50:31.000Z",
"lastModified": "2025-06-30T10:56:24.000Z",
"author": "unsloth",
"downloads": 1907,
"likes": 14,
"gated": false,
"private": false,
"pipeline_tag": "text-to-image",
"library_name": "",
"siblings_count": 17
}